⚡ NEXT-GEN MULTI-AGENT PLATFORM
01 · MULTI-SOURCE INGEST
Live Ingestion Hub
Captures webhooks, tickets, emails & telemetry across 50+ tools in real-time.
⚡ <80ms ingest latency
02 · REASONING FLEET
Cognitive Multi-Agent
Context analysis, vector RAG search & self-correcting multi-step planning.
🤖 99.8% task accuracy
03 · AUTONOMOUS ACTION
Tool Dispatch Engine
Direct API execution to CRM, databases, and communication channels without human lag.
✓ SOC2 compliant · Pass
> [LIVE TELEMETRY] Cluster active: 48 autonomous agents deployed across HubSpot, PostgreSQL & Slack. Guardrail verification: PASSED.
Trusted by Innovators
DataSync
Nexus AI
CloudScale
HyperFlow
OmniTask
Vortex Ops
Apex Logic
Synthetix
PulseStream
CoreStack
AutomateX
SecureOps
What We Build
Workflow & Pipeline Agents
Automate multi-step data pipelines, cross-tool synchronization, and background operations.
Document & Data Extraction Agents
Parse, validate, and structure incoming invoices, contracts, tickets, and PDFs with neural accuracy.
Customer Support & Triage Agents
Autonomous tier-1 ticket resolution, intelligent escalation, and instant CRM updates.
Multi-System Sync Agents
Real-time synchronization across 50+ SaaS tools, databases, and enterprise apps via native APIs.
Custom Automation Agents
Purpose-built agents tailored to your proprietary stack, custom APIs, and operational workflows.
Why AI Agents
The Reality for Fast-Growing Teams
The Problems
Manual repetitive workflows drain hours every week
Critical data gets fragmented across disconnected tools
Operations teams are overwhelmed by routine tickets
Valuable info is trapped in spreadsheets and inboxes
Scaling operations requires linear, expensive hiring
The Outcome With AIautomation
Workflows run autonomously, 24/7/365
Every event is processed, validated, and routed in real time
Clean structured data is delivered on demand
Your entire software stack communicates autonomously
You scale your business 10x without scaling headcount
AIautomation:
Understand operational context
Follow complex business rules
Connect to your existing tools
Execute tasks without supervision
What We Mean By “AI Agent”
Not a chatbot. Not a script. A system that actually works.
An AIautomation agent is autonomous software designed to monitor incoming events, make contextual decisions, and trigger actions across your apps — 24/7. They don’t replace your team. They eliminate tedious tasks so you can operate at a higher level.
Features
Everything You Need to Automate at Scale
Used by:
Operations
Product Teams
Customer Success
Global Enterprises
BS
Slack
Synced
CV
Notion
Syncing
NT
Salesforce
Queued
CF
HubSpot
Synced
Smart Sync
Connect 20+ data sources and APIs in one click. Real-time synchronization with zero configuration.
Unparsed
Parsing
Structured
Stripe Invoice
Payment captured
< 180ms
Neural Automation Engine
Our neural engine parses unstructured data — from invoices and emails to raw webhooks — and structures it instantly.
Ops Lead
Sync new signups to CRM?
Enriched and sent to Slack
AIautomation
Income at fair value — added to your report.
Self-Healing Workflows
Generate audit-ready reports in seconds. Export to PDF, CSV, or directly to your analytics dashboard.
Benefits
Faster execution across teams
Agents coordinate workflows across tools, removing delays caused by manual reviews and handoffs.
Reduced operational costs
Automating repetitive reporting tasks reduces overhead while maintaining accuracy and consistency.
Consistent performance, 24/7
Agents operate continuously without fatigue, ensuring critical tax and DeFi workflows run reliably.
Fewer manual handoffs
Data moves automatically between wallets, exchanges, and reports, eliminating bottlenecks.
Systems that scale with demand
Agents handle increased transaction volume without additional headcount as your portfolio grows.
Predictable, auditable outcomes
Agents follow defined logic, producing results that are consistent, explainable, and audit-ready.
Process
How AIautomation Works
From setup to automation in four simple steps.
INPUT
Inbound Event / Webhook
AI REASONING
Context Analysis
EXECUTION
Decision & Action Logic
01
STEP 01
Discovery & Process Mapping
We map your manual operations, software integrations, and repetitive bottlenecks to define the automation scope.
Rules Engine
Decision Logic
Integrations
02
STEP 02
Custom Agent Architecture
We build the autonomous triggers, decision models, and error-handling routines your agents need to run reliably.
APIs
AIautomation
Databases
03
STEP 03
Integration & Sandboxed Testing
Your agents integrate seamlessly into your SaaS stack and internal databases — battle-tested in staging.
MON
TUE
WED
THU
FRI
SAT
SUN
04
STEP 04
Deployment, Telemetry & Auto-Tuning
We deploy, monitor execution performance, and continuously optimize your automated workflows over time.
Use Cases
How AIautomation Improves Real Operations
Lead & CRM Automation
Inbound Lead Form
Qualified
Enrich via Clearbit
Synced
Assign to Account Exec
Meeting Booked
Instant Lead Routing & Enrichment
AIautomation agents instantly score, qualify, and enrich incoming inbound leads, scheduling meetings and notifying sales reps in seconds.
Customer Support Automation
24/7 Tier-1 Ticket Triage & Resolution
An intelligent support agent categorizes incoming Zendesk & Intercom tickets, performs diagnostic checks, and drafts verified resolutions around the clock.
Pricing
Pricing Based on Your Success
One simple price for every automation. No per-seat fees and no surprises — scale your workflows without scaling your bill.
Monthly
$59
17% off
Best value for growing teams.
$
49
/month
Yearly
$59
34% off
Unlock savings with an annual commitment.
$
39
/month
Access to all features with no hidden fees
Frequently Asked Questions
Everything you need to know about AIautomation.
What exactly is an AI agent in this context?
An AI agent is an autonomous system designed to handle specific business tasks end-to-end. Unlike simple chatbots, AI agents can reason, take actions, integrate with tools, and follow defined workflows.
How is this different from a chatbot or no-code automation?
Can these agents integrate with our existing tools and systems?
How reliable and secure are AI agents in production?
Who is this built for?
